Crime Prevention through Alternate Route Finding In Traffic Surveillance Using CCTV Cameras
Gupta, P.1, Purohit, G. N.2, Dadhich, A3
1Pratishtha Gupta, Computer Science, Banasthali Vidyapeeth, Jaipur, India.
2Prof. G. N. Purohit, His Department Name, Banasthali Vidyapeeth, Niwai, Tonk, Rajasthan, India.
3Amrita Dadhich, Computer Science, Banasthali University, Jaipur, India.
Manuscript received on March 16, 2013. | Revised Manuscript received on April 09, 2013. | Manuscript published on April 30, 2013. | PP: 414-418 | Volume-2, Issue-4, April 2013. | Retrieval Number: E1890062513/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Road Traffic Network Surveillance through CCTV Cameras finds its applications in various issues of social and administrative importance including Crime Prevention. Crimes associated with theft, kidnapping and missing cases demand tracking of paths of a suspect vehicle, which that vehicle might have followed. Since it is difficult to place CCTV Cameras at each and every traffic intersection point, information collected from CCTV Cameras placed at some important junctions can be exploited to generate the required paths. Algorithm for finding the routes of the suspect vehicle in given road traffic network with certain active intersection points, which are under CCTV surveillance, has been suggested. Simulation of the algorithm has been conducted in SUMO and results in the form of alternate paths between two given intersection points, where the target vehicle has been tracked through CCTV Cameras are presented.
Keywords: Alternate Routes, CCTV Camera, Crime Prevention, Python, Simulation, Urban Mobility, Traffic Surveillance.